navidocs/CLOUD_SESSION_1_MARKET_RESEARCH.md
Danny Stocker da1263d1b3 Add IF.bus intra-agent communication protocol to all 5 cloud sessions
- Added IFMessage schema with FIPA-ACL performatives
- Session-specific communication flows (distributed intelligence, peer review, adversarial testing, sequential handoffs, consensus building)
- Automatic conflict detection (>20% variance triggers ESCALATE)
- Multi-source verification (IF.TTT ≥2 sources requirement)
- Token cost tracking (IF.optimise integration)
- PARALLEL_LAUNCH_STRATEGY.md for simultaneous session deployment
- SWARM_COMMUNICATION_PROTOCOL.md comprehensive protocol docs

Based on InfraFabric S² multi-swarm coordination (3,563x faster than git polling)

🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-13 02:03:24 +01:00

15 KiB

Cloud Session 1: Yacht Sales Market Intelligence

NaviDocs × Riviera Plaisance Opportunity Analysis

Session Type: Market Research Coordinator Lead Agent: Sonnet (strategic intelligence) Swarm Size: 10 Haiku agents Token Budget: $15 (7.5K Sonnet + 50K Haiku) Output: Market analysis + competitive landscape


Mission Statement

Gather comprehensive market intelligence for Riviera Plaisance Euro Voiles, focusing on recreational motor boat owners (Jeanneau Prestige + Sunseeker 40-60ft, €800K-€1.5M range) and the daily boat management pain points that NaviDocs solves with sticky engagement features.


Context (Read First)

NaviDocs: Daily boat management app with sticky engagement (cameras, maintenance logs, inventory tracking) that happens to have perfect documentation when you need it.

Meeting: Riviera Plaisance yacht sales agent (Sylvain) - pitch NaviDocs as included service with every boat sale

Riviera Plaisance Euro Voiles Profile:

  • Location: Antibes, Golfe Juan, Beaulieu (French Riviera)
  • Brands: Jeanneau, Prestige Yachts, Fountaine Pajot, Monte Carlo Yachts
  • Volume: 150+ new boats/year, 20,500+ active customers
  • Boat Types: Recreational motor boats 40-50ft (€800K-€1.5M range)
  • Owner Profile: Weekend/holiday users (20-40 days/year), NOT crew-managed mega yachts

Current NaviDocs Status:

  • 65% complete MVP
  • Production-ready architecture (13 tables, 40+ APIs)
  • OCR pipeline functional (Tesseract + Google Vision)
  • Multi-tenant ready
  • Critical Gap: Lacks sticky daily-use features (cameras, maintenance, inventory, contacts)

Key Insights from Local Research:

  1. Inventory tracking pain: Owners forget €15K-€50K in upgrades when selling (tender, electronics, blinds)
  2. Passive docs don't work: Owners ignore documentation vault until emergency/sale
  3. Sticky features needed: Camera check, maintenance log, crew contacts, expense tracking
  4. Warranty tracking: Still valuable (€8K-€33K losses) but secondary to daily engagement
  5. Search UX critical: No long lists - structured, impeccable search results

Agent Identity & Check-In Protocol

YOU ARE: Sonnet coordinator for Session 1 (Market Research)

YOUR HAIKU SWARM: You have 10 Haiku agents available. Use as many as needed (not required to use all 10).

AGENT IDENTITY SYSTEM: When spawning a Haiku agent, assign it an identity: S1-H01 through S1-H10 Each agent MUST:

  1. Check in at start: "I am S1-H03, assigned to [task name]"
  2. Reference their task by searching this document for "Agent 3:" (matching their number)
  3. Retain identity throughout execution
  4. Report completion with identity: "S1-H03 complete: [deliverable summary]"

TASK DEPENDENCIES:

  • Agents 1-9 can run in parallel (no dependencies)
  • Agent 10 (Evidence Synthesis) MUST wait for Agents 1-9 to complete

Your Tasks (Use Haiku Agents S1-H01 through S1-H10 as Needed)

Agent 1: Recreational Boat Market (Prestige + Sunseeker)

AGENT ID: S1-H01 PERSONA: Joe Trader (Epic V4 Merchant-Philosopher) - detect discontinuities, market trends Research:

  • ACTUAL SALE PRICES: Search YachtWorld, Boat Trader ads for current + historical sales
  • Price trend analysis 2020-2025 (COVID boom impact, current market)
  • Jeanneau Prestige + Sunseeker 40-60ft market (units sold annually, €800K-€1.5M range)
  • Riviera Plaisance Euro Voiles volume (150+ boats/year validated)
  • Owner demographics (age, usage patterns, pain points)
  • Boat ownership costs (maintenance, storage, upgrades)

Deliverable: Market report with ACTUAL sale data + trend analysis (Joe Trader discontinuity lens)

Agent 2 Competitor Analysis (Boat Management Apps)

AGENT ID: S1-H02 ** Research:

  • Boat management apps (Savvy Navvy, Dockwa, Boat Buddy, BoatVault, DeckDocs)
  • Daily engagement features (cameras, maintenance logs, inventory tracking)
  • Pricing models (€5-€50/month for consumer apps)
  • Feature gaps: Do they solve "forgot €15K tender" problem?
  • Customer reviews: What makes boat apps sticky vs abandoned?

Deliverable: Competitive matrix showing NaviDocs differentiation (daily engagement + perfect docs)

Agent 3 Owner Pain Points (Daily Boat Management)

AGENT ID: S1-H03 ** Research:

  • What frustrates recreational boat owners? (maintenance tracking, expense tracking, remote monitoring)
  • "Forgot to sell the tender" problem - how common is inventory loss at resale?
  • Camera/remote monitoring needs (is my boat OK while I'm away?)
  • Crew/service contact management (who do I call for cleaning/repairs?)
  • Accounting pain (how much am I spending on this boat annually?)

Deliverable: Owner pain point analysis ranked by frequency and financial impact

Agent 4 Inventory Tracking & Resale Value Protection

AGENT ID: S1-H04 ** Research:

  • Boat equipment upgrade market (tenders, electronics, deck refinishing, automatic systems)
  • Average upgrade spend per boat per year (Jeanneau Prestige + Sunseeker 40-60ft owners)
  • "Forgotten inventory" problem - how much value is lost at resale?
  • Receipt/invoice management for boats (tax deduction, warranty claims, resale documentation)
  • Comparable: RV/car inventory tracking solutions

Deliverable: ROI calculator for inventory tracking (€X forgotten value prevented)

Agent 5 Sticky Engagement Feature Research

AGENT ID: S1-H05 ** Research:

  • Boat camera/monitoring systems (Siren Marine, GOST, Nautic Alert)
  • Maintenance reminder apps (what makes them sticky vs ignored?)
  • Expense tracking for recreational vehicles (boats, RVs, classic cars)
  • Contact management for boat services (marina, mechanics, cleaners, charter crew)
  • User engagement metrics: daily active users for boat apps

Deliverable: Feature prioritization - which sticky features drive daily/weekly engagement?

Agent 6 Search UX Best Practices (Critical for Inventory)

AGENT ID: S1-H06 ** Research:

  • Search UX for inventory/asset management (how to avoid long lists?)
  • Structured search results (Pinterest, Amazon, Airbnb approaches)
  • Filtering/faceting for boat equipment (by zone, category, value, warranty status)
  • Mobile-first search (owners check from phone)
  • Voice search for boat management ("Show me tender warranty")

Deliverable: Search UX recommendations - impeccable structured results, zero long lists

Agent 7 Pricing Strategy Research (Broker-Included Model)

AGENT ID: S1-H07 ** Research:

  • "Included with purchase" software models (Tesla app, luxury car apps)
  • Broker/dealer software bundling strategies
  • Freemium boat apps (free basic, paid premium features)
  • Monthly subscription tolerance (€5-€20/month for boat owners?)
  • Revenue share models (broker pays €X per boat sold, owner pays ongoing)

Deliverable: Pricing recommendation for "included with every Riviera boat" model

Agent 8 Home Assistant & Camera Integration Research

AGENT ID: S1-H08 ** Research:

  • Home Assistant boat monitoring setups (camera feeds, bilge sensors, battery monitoring)
  • Marine camera systems compatible with HA (Hikvision, Reolink, marine-rated cameras)
  • Boat monitoring hardware (Victron, Siren Marine, GOST integrations)
  • Remote boat access use cases (security, maintenance alerts, peace of mind)
  • API integration patterns (webhook, MQTT, REST)

Deliverable: Technical feasibility report for Home Assistant/camera integration

Agent 9 Broker Sales Objection Research

AGENT ID: S1-H09 ** Research:

  • Why brokers resist including software with boat sales (complexity, support burden)
  • Owner adoption challenges (will they actually use it after purchase?)
  • Sticky product examples (what makes owners keep using bundled software?)
  • Success stories: software included with high-ticket purchases (luxury cars, boats, RVs)
  • "I already use X" objections (existing boat management apps)

Deliverable: Objection handling playbook for Sylvain meeting

Agent 10 Evidence Synthesis

AGENT ID: S1-H10 ** Research:

  • Compile all findings from Agents 1-9
  • Cross-reference data for consistency
  • Identify gaps requiring additional research
  • Flag unverified claims needing validation

Deliverable: Master evidence database with citations


Intra-Agent Communication Protocol (IF.bus)

Based on: InfraFabric S² multi-swarm coordination (3,563x faster than git polling)

IFMessage Schema

Every agent-to-agent message follows this structure:

{
  "performative": "inform",  // FIPA-ACL: inform, request, query-if, confirm, disconfirm, ESCALATE
  "sender": "if://agent/session-1/haiku-Y",
  "receiver": ["if://agent/session-1/haiku-Z"],
  "conversation_id": "if://conversation/navidocs-session-1-2025-11-13",
  "content": {
    "claim": "[Your finding]",
    "evidence": ["[URL or file:line]"],
    "confidence": 0.85,  // 0.0-1.0
    "cost_tokens": 1247
  },
  "citation_ids": ["if://citation/uuid"],
  "timestamp": "2025-11-13T10:00:00Z",
  "sequence_num": 1
}

Speech Acts (Performatives)

inform: Share findings with synthesis agent (Agent 10)

  • Example: "I am S1-H03. Inventory tracking prevents €15K-€50K loss (confidence 0.85)"

request: Ask another agent for verification/data

  • Example: "S1-H10 requests S1-H02: Verify market size with 2nd source (IF.TTT requirement)"

confirm: Validate another agent's claim

  • Example: "S1-H02 confirms S1-H01: Market size €2.3B verified (2 sources now)"

disconfirm: Challenge another agent's claim

  • Example: "S1-H03 challenges S1-H01: Price range conflict (€250K vs €1.5M = 500% variance)"

ESCALATE: Flag critical conflict for Sonnet coordinator

  • Example: "S1-H10 ESCALATES: Price variance >20%, requires human resolution"

Communication Flow (This Session)

S1-H01 through S1-H09 → S1-H10 (Evidence Synthesis)
                           ↓
                      ESCALATE (if conflicts)
                           ↓
                      Sonnet Resolves

Key Patterns:

  1. Agents 1-9 → Agent 10: Send findings with confidence scores
  2. Agent 10 → Agents 1-9: Request verification if confidence <0.75
  3. Agent 10 → Sonnet: ESCALATE conflicts (>20% variance)
  4. Sonnet → Agent X: Request re-investigation with specific instructions

Multi-Source Verification Example

# Agent 1 finds data (1 source, low confidence)
S1-H01: "inform" → claim: "Market size €2.3B", confidence: 0.70

# Agent 10 detects low confidence, requests verification
S1-H10: "request" → S1-H02: "Verify market size (IF.TTT: need 2+ sources)"

# Agent 2 searches, finds 2nd source
S1-H02: "confirm" → S1-H10: "Market size €2.3B verified", confidence: 0.90

# Agent 10 synthesizes
S1-H10: "inform" → Coordinator: "Market size €2.3B (VERIFIED, 2 sources)"

Conflict Detection Example

# Agents report conflicting data
S1-H01: "inform" → "Prestige 50 price €250K"
S1-H03: "inform" → "Owner has €1.5M Prestige 50"

# Agent 10 detects 500% variance
S1-H10: "ESCALATE" → Coordinator: "Price conflict requires resolution"

# Sonnet resolves
Coordinator: "request" → S1-H01: "Re-search YachtWorld for Prestige 50 SOLD prices"

# Agent 1 corrects
S1-H01: "inform" → "Prestige 50 price €800K-€1.5M (CORRECTED)"

IF.TTT Compliance

Every message MUST include:

  • citation_ids: Links to evidence
  • confidence: Explicit score (0.0-1.0)
  • evidence: Observable artifacts (URLs, file:line)
  • cost_tokens: Token consumption (IF.optimise tracking)

IF.optimise Protocol

Token Efficiency Targets:

  • Use Haiku for all web research and data extraction
  • Use Sonnet only for final synthesis and strategic analysis
  • Target: 70% Haiku delegation (10% better than 14-day sprint)

Cost Tracking:

  • Report token consumption per agent
  • Alert if exceeding $15 budget
  • Switch to Haiku-only mode if approaching limit

Output Format

Deliverable 1: Market Analysis Report

File: session-1-market-analysis.md

Structure:

# Yacht Sales Market Intelligence Report
## Mediterranean Focus - Riviera Plaisance Opportunity

### Executive Summary
- Market size: [€X billion, Y thousand yachts sold annually]
- Riviera broker market: [Z brokerages, avg A boats/year]
- Opportunity: [€B revenue potential for NaviDocs]

### Market Sizing
[Agent 1 findings with citations]

### Competitive Landscape
[Agent 2 competitive matrix]

### Broker Pain Points
[Agent 3 pain point analysis]

### Value Proposition
[Agent 4 ROI calculator data]

### Regulatory Requirements
[Agent 5 compliance checklist]

### Charter Fleet Market
[Agent 6 charter feature needs]

### Pricing Strategy
[Agent 7 pricing recommendations]

### Integration Partnerships
[Agent 8 integration targets]

### Sales Enablement
[Agent 9 objection handling]

### Evidence Quality
[Agent 10 verification status]
- Total claims: X
- Verified claims: Y (Z%)
- Citations: [if://citation/uuid list]

Deliverable 2: Citations Database

File: session-1-citations.json

Format:

{
  "session_id": "if://conversation/navidocs-session-1-2025-11-13",
  "citations": [
    {
      "citation_id": "if://citation/market-size-mediterranean-yachts",
      "claim": "Mediterranean yacht sales market is €2.3B annually",
      "sources": [
        {
          "type": "web",
          "url": "https://example.com/yacht-market-report-2024",
          "accessed": "2025-11-13T10:00:00Z",
          "hash": "sha256:..."
        }
      ],
      "status": "verified",
      "created_by": "if://agent/session-1/haiku-1"
    }
  ]
}

Deliverable 3: Session Handoff

File: session-1-handoff.md

Structure:

# Session 1 Handoff to Session 2

## Mission Accomplished
- [x] Market analysis complete
- [x] Competitive landscape mapped
- [x] Pain points identified
- [x] Evidence database compiled

## Key Findings for Session 2
1. Market opportunity: €X million
2. Top 3 competitor gaps: [list]
3. Critical broker pain: [time spent on documentation]
4. Regulatory requirements: [jurisdictions covered]

## Blockers for Next Session
- [ ] Need technical specs for MLS integration (Agent 8 flagged)
- [ ] Pricing model requires cost analysis (Agent 7 flagged)

## Token Consumption
- Total: 52,450 tokens ($0.86)
- Sonnet: 7,200 tokens
- Haiku: 45,250 tokens
- Efficiency: 71% Haiku delegation ✅

## Evidence Quality
- Total claims: 47
- Verified: 42 (89%)
- Unverified: 5 (flagged for Session 5 Guardian review)

## Next Session Input
Read: session-1-market-analysis.md, session-1-citations.json
Focus: Technical integration architecture for broker CRM, MLS, Home Assistant

IF.TTT Compliance Checklist

  • All claims have ≥2 source citations
  • File hashes (SHA-256) for all web sources
  • Agent token consumption logged
  • Unverified claims flagged
  • Session handoff document created
  • GitHub commit with citation references

Success Criteria

Minimum Viable Output:

  • Market size quantified (€X billion, Y thousand yachts)
  • Top 5 competitors identified with pricing
  • 3-5 critical broker pain points documented
  • ROI calculator inputs compiled
  • Evidence quality >85% verified

Stretch Goals:

  • Integration partnership targets identified
  • Sales objection handling playbook complete
  • Charter fleet market analysis included

Start Command: Deploy this prompt to Claude Code Cloud with GitHub repo access End Condition: All deliverables committed to dannystocker/navidocs repo under intelligence/session-1/